@article{8dd5ee08249541b2b55bbb85503c8a11,
title = "Unveiling molecular details behind improved activity at neutral to alkaline pH of an engineered DyP-type peroxidase",
abstract = "DyP-type peroxidases (DyPs) are microbial enzymes that catalyze the oxidation of a wide range of substrates, including synthetic dyes, lignin-derived compounds, and metals, such as Mn2+ and Fe2+, and have enormous biotechnological potential in biorefineries. However, many questions on the molecular basis of enzyme function and stability remain unanswered. In this work, high-resolution structures of PpDyP wild-type and two engineered variants (6E10 and 29E4) generated by directed evolution were obtained. The X-ray crystal structures revealed the typical ferredoxin-like folds, with three heme access pathways, two tunnels, and one cavity, limited by three long loops including catalytic residues. Variant 6E10 displays significantly increased loops{\textquoteright} flexibility that favors function over stability: despite the considerably higher catalytic efficiency, this variant shows poorer protein stability compared to wild-type and 29E4 variants. Constant-pH MD simulations revealed a more positively charged microenvironment near the heme pocket of variant 6E10, particularly in the neutral to alkaline pH range. This microenvironment affects enzyme activity by modulating the pKa of essential residues in the heme vicinity and should account for variant 6E10 improved activity at pH 7–8 compared to the wild-type and 29E4 that show optimal enzymatic activity close to pH 4. Our findings shed light on the structure–function relationships of DyPs at the molecular level, including their pH-dependent conformational plasticity. These are essential for understanding and engineering the catalytic properties of DyPs for future biotechnological applications.",
keywords = "Biocatalysis, Biorefinery, Directed evolution, Protein stability, Structure-function relationships",
author = "Borges, {Patr{\'i}cia T.} and Diogo Silva and Silva, {Tom{\'a}s F.D.} and V{\^a}nia Brissos and Marina Ca{\~n}ellas and Lucas, {Maria F{\'a}tima} and Laura Masgrau and Melo, {Eduardo P.} and Miguel Machuqueiro and Carlos Fraz{\~a}o and Martins, {L{\'i}gia O.}",
note = "Funding Information: This work was supported by the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia, Portugal, grants CEECIND/02300/2017, PTDC/BBBEBB/0122/2014, PTDC/BII-BBF/29564/2017, MOSTMICRO-ITQB (UIDB/04612/2020 and UIDP/04612/2020), LS4FUTURE Associated Laboratory (LA/P/0087/2020), BioISI (UIDB/04046/2020 and UIDP/04046/2020), and projects UIDB/04326/2020, UIDP/04326/2020, LA/P/0101/2020, and the operational programs CRESC Algarve 2020 and COMPETE through project EMBRC.PT ALG-01-0145-FEDER-022121. LA thanks the Spanish Ministerio de Ciencia Innovaci{\'o}n y Universidades (PGC2018-098592-B-100 and PID2021-126897NB-100) and Universitat Aut{\`o}noma de Barcelona Talent Program. DS and TFDS acknowledge FCT Ph.D. Fellowships SFRH/BD/132702/2017 and SFRH/BD/140886/2018. Funding Information: The authors thank Bernardo Rodrigues and Joana Pedroso for their help in preliminary crystallographic experiments, and the staff of beamlines ID23-1 from ESRF, and XALOC from ALBA for the support during the synchrotron data collections. This work was supported by the Funda{\c c}{\~a}o para a Ci{\^e}ncia e Tecnologia, Portugal, grants CEECIND/02300/2017, PTDC/BBBEBB/0122/2014, PTDC/BII-BBF/29564/2017, MOSTMICRO-ITQB (UIDB/04612/2020 and UIDP/04612/2020), LS4FUTURE Associated Laboratory (LA/P/0087/2020), BioISI (UIDB/04046/2020 and UIDP/04046/2020), and projects UIDB/04326/2020, UIDP/04326/2020, LA/P/0101/2020, and the operational programs CRESC Algarve 2020 and COMPETE through project EMBRC.PT ALG-01-0145-FEDER-022121. LA thanks the Spanish Ministerio de Ciencia Innovaci{\'o}n y Universidades (PGC2018-098592-B-100 and PID2021-126897NB-100) and Universitat Aut{\`o}noma de Barcelona Talent Program. DS and TFDS acknowledge FCT Ph.D. Fellowships SFRH/BD/132702/2017 and SFRH/BD/140886/2018. Publisher Copyright: {\textcopyright} 2022 The Author(s)",
year = "2022",
month = jan,
doi = "10.1016/j.csbj.2022.07.032",
language = "English",
volume = "20",
pages = "3899--3910",
journal = "Computational and Structural Biotechnology Journal",
issn = "2001-0370",
publisher = "Research Network of Computational and Structural Biotechnology",
}